System and method of personalizing online marketing campaigns

ABSTRACT

Personalized electronic content is generated for display on a user computer. The content is generated by first matching a targeted user online identifier to one of a plurality of user online identifiers associated with a master ID in a database. Using online user behavior associated with the user online identifiers of the master ID, a preliminary set of personalized electronic content is generated. A set of content usage parameters is applied to the preliminary set of personalized electronic content to define the personalized electronic content, which is then transmitted and displayed on a user computer. The personalized electronic content may comprise targeted advertisement utilized to populate a webpage or an email template defined by an online marketing campaign.

CROSS-REFERENCE TO RELATED APPLICATIONS

Not Applicable.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

Not Applicable.

BACKGROUND

1. The Field of the Present Disclosure.

The present disclosure relates generally to electronic commerce, andmore particularly, but not necessarily entirely, to personalization ofelectronically generated content.

2. Description of Related Art

The growth of electronic commerce (“e-commerce”) has led to a dramaticincrease in the number of websites offering products and services forsale. E-commerce, in its broadest sense, refers generally to theconducting of business communications and transactions over networksthrough computers. More specifically, e-commerce refers to the buyingand selling of goods and services, and the transfer of funds, throughdigital communications. As used herein, e-commerce refers to both of theabove descriptions.

Many e-commerce websites are personalized such that each user may bepresented with a unique experience to maximize the possibility of asale. Personalization of the e-commerce website may be based on a user'shistorical online behavior and demographic information known about theuser. Using the user's historical online behavior and known demographicinformation, a website attempts to predict the interests of the user.These predicted interests are then used to customize the presentation ofthe webpages of the website. For example, a webpage may include anadvertisement for a product that is predicted to be of interest to auser based on the user's past purchase history. It will be appreciatedthat these personalization techniques may be utilized in conjunctionwith marketing campaigns.

To identify and track users, e-commerce websites employ user onlineidentifiers. For example, websites may download small segments of dataknown as tracking cookies to the users' electronic devices. Thesetracking cookies typically contain some kind of ID number that allowsthe website to identify the electronic devices. Typically, when anelectronic device accesses a website, the website requests that theelectronic device's web browser provide the tracking cookie stored inthe memory of the electronic device. Using the tracking cookie, thewebsite is able to identify the electronic device's previous onlinehistory. For example, the website may be able to determine productlistings previously accessed by an electronic device or online purchasesmade using the electronic device. The website may also be able toidentify any user accounts associated with the electronic device. Thewebsite may also be able to access demographic information previouslyassociated with the electronic device using the tracking cookie. Thismay include the gender, age, and interests of a user of the electronicdevice.

One drawback to the use of tracking cookies for personalization purposesis that the website cannot identify the specific users accessing thewebsite based on the tracking cookies. That is, tracking cookies onlyidentify the electronic device itself and not the actual user. (Inreality, tracking cookies are actually browser specific.) Thus, anyhistorical information stored by the website for a particular trackingcookie may be device specific and not user specific. For example, in asituation where multiple users use the same electronic device to accessthe same e-commerce website, the website does not know which of theusers is actually using the electronic device at any given time. In thissituation, personalization may be totally ineffective, or evenoffensive, because the personalization may be directed to a user that isnot actually using the electronic device.

Personalization is further complicated by the fact that a user mayaccess a website from multiple electronic devices used by multiple otherusers. For example, a user may access a website from a home computer, awork computer, and a smart phone, each of which may have its owntracking cookie. However, a spouse of the user may also use the samehome computer making it difficult to know which user is actually onlineat any given time.

Personalization is even further complicated by the fact that a user mayuse multiple accounts with an e-commerce website or multiple users mayuse a single account to make purchases through an e-commerce website,such as in a familial situation. Likewise, users may have multiple emailaccounts through which they access an e-commerce website.

From the above, it can be seen that correctly identifying an actual userof an electronic device for personalization purposes is virtuallyimpossible. Further, erroneous identification of the actual user usingan electronic device may result in lost sales opportunities. Forexample, a user presented with a personalized webpage customized for adifferent user may lose interest and leave the website. In someinstances, a user presented with personalized content targeted foranother user may even be offended or annoyed. Likewise, a targeted usermay not want another user to be targeted with personalized contentintended for the targeted user.

While the above-described problems identifying actual users may never beeliminated in their entireties, it would be an improvement over theprior art to provide a system and method for enhanced personalizationtechniques that improve the probability of a sale in a multi-user,multi-device environment.

The prior art is thus characterized by several disadvantages that areaddressed by the present disclosure. The present disclosure minimizes,and in some aspects eliminates, the above-mentioned failures, and otherproblems, by utilizing the methods and structural features describedherein.

The features and advantages of the present disclosure will be set forthin the description that follows, and in part will be apparent from thedescription, or may be learned by the practice of the present disclosurewithout undue experimentation. The features and advantages of thepresent disclosure may be realized and obtained by means of theinstruments and combinations particularly pointed out in the appendedclaims.

BRIEF DESCRIPTION OF THE DRAWINGS

The features and advantages of the disclosure will become apparent froma consideration of the subsequent detailed description presented inconnection with the accompanying drawings in which:

FIG. 1 is a diagram of a system for generating personalized electroniccontent according to an illustrative embodiment of the presentdisclosure;

FIG. 2 depicts a webpage template according to an illustrativeembodiment of the present disclosure;

FIG. 3 depicts a webpage generated using the webpage template shown inFIG. 2 populated with personalized electronic content;

FIG. 4 is an exemplary table of user online identifiers associated witha master ID in a database;

FIG. 5 is an exemplary table showing content usage parameters for theuser online identifiers shown in FIG. 4; and

FIG. 6 is a flow diagram of a process for generating personalizedelectronic content according to an illustrative embodiment of thepresent disclosure.

DETAILED DESCRIPTION

For the purposes of promoting an understanding of the principles inaccordance with the disclosure, reference will now be made to theembodiments illustrated in the drawings and specific language will beused to describe the same. It will nevertheless be understood that nolimitation of the scope of the disclosure is thereby intended. Anyalterations and further modifications of the inventive featuresillustrated herein, and any additional applications of the principles ofthe disclosure as illustrated herein, which would normally occur to oneskilled in the relevant art and having possession of this disclosure,are to be considered within the scope of the disclosure claimed.

In describing and claiming the present disclosure, the followingterminology will be used in accordance with the definitions set outbelow. It must be noted that, as used in this specification and theappended claims, the singular forms “a,” “an,” and “the” include pluralreferents unless the context clearly dictates otherwise. As used herein,the terms “comprising,” “including,” “containing,” “having,”“characterized by,” and grammatical equivalents thereof are inclusive oropen-ended terms that do not exclude additional, unrecited elements ormethod steps.

Referring now to FIG. 1, there is depicted a system 20 for providingenhanced personalized electronic content to users. In an illustrativeembodiment, the personalized electronic content may be customizedwebpages of a website, such as an e-commerce website. In an illustrativeembodiment, the personalized electronic content may be a body of anemail utilized in an email-marketing campaign. In an illustrativeembodiment, the personalized electronic content may be banner ads orother advertisements displayed on a website or in electroniccommunications.

According to examples of embodiments of the present invention, thesystem 20 can be positioned to provide personalized electronic contenton an online retailer/wholesaler website, sometimes referred to as ane-commerce website, or in the body of emails. The system 20 may includean electronic content generation server 21. In an embodiment, the server21 is part of an e-commerce enterprise that hosts an e-commerce website,as is known to those of ordinary skill. In an embodiment, the server 21is a bulk email server for generating emails for use in email-marketingcampaigns.

The server 21 may include a processor 22 and memory 23. One or moresecond computers, e.g., user computers 27, positioned remote from and incommunication with the web server 21 through an electronic communicationnetwork 30, such as the Internet or other internetwork. The system 20can also include an electronic content generation program 24 stored on atangible computer medium, such as, for example, one or more varioustypes of memory, such as, for example, memory 23 of the server 21. Theprogram 24 may contain instructions, that when executed by the processor22, cause the processor 22 to provide personalized electronic content onthe remote computers 27. The system 20 can also include a plurality ofdatabase servers (not shown) that warehouse data regarding e-commerceconducted through the system 20. The warehoused data may include userdemographic and tracked online behavior. The data may include onlineadvertisements created by a marketing department.

As understood by those skilled in the art, the memory 23 of the server21 can include volatile and nonvolatile memory known to those skilled inthe art including, for example, RAM, ROM, and magnetic or optical disks,just to name a few. It should also be understood by those skilled in theart that, although illustrated as a single server, the illustratedconfiguration of the server 21 is given by way of example and that othertypes of servers or computers configured according to various othermethodologies known to those skilled in the art can be used. The server21 shown schematically in FIG. 1 represents a server or server clusteror server farm and is not limited to any individual physical server. Theserver site may be deployed as a server farm or server cluster managedby a server-hosting provider. The number of servers and theirarchitecture and configuration may be increased based on usage, demand,and capacity requirements for the system 20. Similarly, the databaseservers (not shown) each represent a server or server cluster or serverfarm and are not limited to any individual physical server orconfiguration.

As understood by those skilled in the art, the user computers 27 can belaptops, desktops, personal digital assistants or PDAs, cell phones,smart phones, mobile phones, servers, home computers, work computers,Internet-enabled devices, digital music players, smart TVs, or othertypes of processor-based computing devices. As known and understood bythose skilled in the art, the network 30 can include an internet orworld wide web of a plurality of computers/servers in communication withone or more other computers through a communication network, and/orportions of a local or other area network.

As further understood by those skilled in the art, the program 24 can bein the form of microcode, programs, routines, and symbolic languagesthat provide a specific set for sets of ordered operations that controlthe functioning of the hardware and direct its operation, as known andunderstood by those skilled in the art. The program 24, according to anembodiment of the present invention, also need not reside in itsentirety in volatile memory, but can be selectively loaded, asnecessary, according to various methodologies as known and understood bythose skilled in the art. As further understood by those skilled in theart, the term “computer-readable medium” encompasses distribution media,intermediate storage media, execution memory of a computer, and anyother medium or device capable of storing the program 24 implementingthe functionality or processes of various embodiments of the presentinvention for later reading by a computer. The program 24 can be copiedfrom the computer-readable medium to a hard disk or a similarintermediate storage medium. When the program 24, or portions thereof,are to be run, it can be loaded either from their distribution medium ortheir intermediate storage medium into the execution memory of thecomputer, configuring the computer to act in accordance with thefunctionality or method of various embodiments of this invention. Allsuch operations are well known to those skilled in the art of computersystems.

According to an exemplary embodiment of the present invention, theprogram 24 can include a set of instructions that when executed by theprocessor 22, cause the server 21, to perform the operations ofgenerating personalized electronic content for transmission and displayon the user computers 27. In an embodiment, the personalized electroniccontent may comprise one or more customized webpages dynamicallygenerated by the server 21. The customized webpages may be displayed inweb browsers running on the user computers 27. The customized webpagesmay include variations of layout, colors, themes, information, productrecommendations, and advertisements. In an illustrative embodiment, thepersonalized electronic content may be the body of an email sent tousers. The users may view the emails using an email program running onthe user computers 27. Thus, it will be appreciated that thepersonalized electronic content may be any electronic content that maybe viewed on the user computers 27 by users and is not limited to justwebpages and emails. For example, the personalized electronic contentmay be displayed to users on the remote computers 27 on a webpage, asviewed, for example, on a display 26 of one or more remote usercomputers 27, through the communication network 30, e.g., Internet. Inan embodiment, the personalized content may include social mediacontent, or any other content generated for display to a user, includingbut not limited to, product recommendations and adverstisements of allsorts.

Referring now to FIG. 2, there is depicted an exemplary webpage template100 that may be used by the server 21 to generate a webpage withpersonalized content that is displayed on one of the user computers 27using a web browser. The template 100 may include features common to allof the webpages generated using the template 100, including aninteractive product taxonomy search bar 102 that provides links todifferent product categories, a search box 104 that allows users toconduct searches within the website, and an interactive link 106 to acheckout feature. The template 100 may be stored in a databaseaccessible to the server 21.

In addition, the template 100 may further include empty frames108A-108D. The frames 108A-108D may be able to display personalizedadvertising content as determined by the server 21. In an embodiment,the frames 108A-108D are populated by the server 21 with personalizedelectronic content using the present invention. The content in theframes 108A-108D may be interactive such that when selected by a user,the content in the frames 108A-108D directs a user to product listingsor product category pages. Thus, it will be appreciated that thepersonalized content displayed in the frames 108A-108D may be variedfrom user to user to provide a personalized webpage from the template100. In an embodiment, the template 100 may be for a homepage of ane-commerce website. It will be noted that the larger the frame, the moreweight is given to the frame. For example, frame 108A is considered tohave more weight than frames 108B and 108C since it is larger.

Referring now to FIG. 3, where like reference numerals depict likecomponents, there is depicted an exemplary personalized webpage 100Agenerated by the server 21 using the template 100 shown in FIG. 2. Ascan be observed, the frames 108A-108D have been populated withpersonalized electronic content in the form of targeted advertisementsselected by the server 21. The targeted advertisements may be selectedby the server 21 using the personalization techniques that are describedherein. It is important to note that the above discussion in relation toFIGS. 2 and 3 may also apply to generating personalized emails to usersusing an email template. That is, an email template may be populatedwith personalized content in the same manner by the server 21 accordingto the principles of the present invention.

In an illustrative embodiment, the personalized content generated by theserver 21 may be targeted advertisements placed on a third-partywebsite. For example, the personalized content may be a banner ad orother type of advertisement displayed on a news website. The banner admay include an interactive link to an e-commerce website. Thus, it willbe appreciated that personalized content may include productadvertisements, targeted advertisements and product recommendations. Inaddition, personalized content may include customized search results andwebpage layouts. In an embodiment, the personalized content may compriseat least one of targeted advertisements, product recommendations, banneradvertisements, special promotions, webpages, invitations, emails,search results and sorted product lists. The manner of generatingpersonalized electronic content will now be described below.

To generate personalized content, the electronic content generationserver 21 tracks, stores, and maintains user interaction informationunder a master ID in a database. The master ID may be a numeric oralphanumeric identifier. In an embodiment, the master ID is apre-existing master ID, and may comprise an online user identifier. Inan illustrative embodiment, the user interaction information may includeuser interactions with websites, including e-commerce websites and anyother type of websites. In an embodiment, the user interactioninformation may be tracked and recorded by another server, including athird-party tracking server as known to those of ordinary skill. Thethird-party tracking server may make the user interaction informationavailable to the server 21. The user interaction information may includea wide range of data that may be utilized to assist in identifying andtracking a user or specific user computers 27 online, including useronline identifiers.

In an illustrative embodiment, the user online identifiers may includeuser account information provided while creating a user account with awebsite. For example, users may be required to establish user accountsin order to conduct e-commerce with an e-commerce website. As known tothose having ordinary skill, to establish a user account, a user may berequired to complete a registration process that requires that the userprovide a unique login ID and password. In addition, a user may berequired to provide his or her first and last name, an email address,home address and a shipping address. The user may also be required toprovide payment information, including a credit card number, billingname, and a billing address.

In an illustrative embodiment, the user online identifiers may includethe tracking cookies of the user computers 27 through which a useraccesses a user account on a website. For example, if a user is found tohave accessed the same user account on an e-commerce website frommultiple user computers 27, the server 21 tracks and records thetracking cookies of each of user computers 27 that accessed the sameuser account under the same master ID in the database. It will beappreciated a tracking cookie is a form of a unique tracking identifier.It will be further appreciated that as used herein, the term “uniquetracking identifier” refers to tracking cookies, i.e., small pieces ofdata sent from a website and stored in a user's web browser, and datasimilar to tracking cookies, including unique identifiers used in asimilar manner to tracking cookies to identify electronic devices.

In an illustrative embodiment, the server 21 tracks and records multipleemail addresses utilized to login to the same user account andassociates those email addresses under the same master ID in thedatabase. For example, a user may utilize both a work and a personalemail address to access the same user account on a website. (This mayoccur when a user clicks on an interactive link provided in a solicitedor unsolicited email sent to the user's email addresses). Both the workand personal email addresses would be stored under the same master ID inthe database by the server 21.

In an illustrative embodiment, the server 21 may run an automatedprocedure to determine if a user can be matched to other user accountsregistered with other websites. For example, a user may have multipleuser accounts with multiple websites. To accomplish this task, theserver 21 may attempt to match user information associated with a firstuser account known to be associated with a targeted user with the userinformation associated with a second user account. For example, theserver 21 may attempt to match a user's name, physical address, or emailaddress associated with a first user account with a user's name,physical address, or email address of a second user account. In anillustrative embodiment, the server 21 may compare the last name and thefirst few letters of the first name to determine if a match exists. Ifthe server 21 matches the user information of the first user accountwith the user information of the second user account, then the seconduser account may be associated to the master ID in the database inconjunction with the first user account.

In an illustrative embodiment, the server 21 may run an automatedprocedure to determine if multiple email addresses are associated withthe same physical address or household. To accomplish this task, theserver 21 may attempt to match user information associated with a firstemail address known to be associated with a targeted user with userinformation associated with a second email account. In an illustrativeembodiment, the user information may be a physical address associatedwith the email addresses. For example, if two email addresses areassociated with the same physical address, a match has been found. If amatch is found, the second email address may be associated with themaster ID in the database along with the first email address.

In an illustrative embodiment, the server 21 may track and record thedifferent IP addresses through which a user account on a website isaccessed. The server 21 may also track and record the IP addresses ofthe user computers 27 that access a website. The server 21 may alsotrack and record the IP addresses of emails through which a website isaccessed. These IP addresses are associated with the same master ID inthe database by the server 21.

Referring now to FIG. 4, as described above, the server 21 processes theuser interaction information to centralize related user onlineidentifiers under a single master ID, and more particularly, in a masterID table 200 stored in a database accessible to the server 21. Inparticular, when a user accesses a website for the first time, orestablishes a user account, from one of the user computers 27 (seeFIG. 1) through a web browser, the website places a tracking cookie inthe memory of the user computer 27. The server 21 may associate thetracking cookie to a master ID by placing the tracking cookie in themaster ID table 200. For purposes of the master ID, this “first”tracking cookie is referred to herein as the base tracking cookie 202shown in FIG. 4.

When a user established a user account with the website through aregistration process, this user account may become the base user account205. During the registration process, the user may provide personalinformation, including login ID, password, first name, last name, andphysical address.

In an illustrative embodiment, when a user provides an email address inassociation with creating the user account on the website, this emailaddress becomes the base email address 204 associated with the master IDtable 200 as shown in FIG. 4. In an embodiment, the base email address204 may also be an email through which a user subscribes to asubscription or is provided by a lead generation. For example, if a userclicks through an advertisement in a solicited or unsolicited email, theuser's email address may become the base email address 204.

As the server 21 tracks and records user interactions with a website, auser may login to his or her account from one or more of the other onesof the user computers 27. The website may transmit and store trackingcookies on the other ones of the user computers 27. The server 21 alsostores these tracking cookies 206 of the other ones of the usercomputers 27 in the master ID table 200. In addition, if a user logsinto his or her user account through email accounts that are not thebase email account 204, the server 21 also stores these email addresses208 in the master ID table 200.

In an illustrative embodiment, the server 21 may attempt to match otheruser accounts to the user account associated with the base user account205. This may be done by matching personal information associated witheach user account, such as name and physical address. If the server 21matches other user accounts to the base user account 205, then thoseaccounts are listed in the table 200 under matched user accounts 210. Itwill be appreciated that the matched user accounts 210 may be accountson the same website as the base user account 205 or on other third-partywebsites.

In an illustrative embodiment, the server 21 may attempt to match otheremail addresses to the physical address associated with the base emailaddress 204 through address matching. For example, if other emailaddresses are found to have the same physical address as that of thephysical address associated with the base email address 204, then theseother email addresses are stored in the table 200 as matched emailaddresses 212.

In an illustrative embodiment, the server 21 may also track and recordthe IP addresses for: (i) the user computer 27 associated with the basetracking cookie 202; (ii) the user computers 27 through which the useraccesses his or her email; (iii) the user computers 27 through which theuser logins to his or her account; and (4) any other user computer 27that can be matched or linked to the user. These IP addresses are storedin the table 200 as IP address 214.

As can be observed, the user online identifiers in the master ID table200 are logically divided into Levels I-IV. It will be appreciated thatthe logical division of the table 200 into Levels I-IV is for discussionpurposes only and to assist in the disclosure of the present invention.That is, the table 200 may not actually be divided or arranged intoseparate levels when stored in a database. The division of the table 200into Levels I-IV should therefore not be considered limiting on thescope of the present disclosure.

As can further be observed from FIG. 4, the user ID confidence level ofthe Level I data is the highest while the user ID confidence level ofLevel IV is the lowest. In practice, this means that personalization ofelectronic content based on the user online identifiers for Level I islikely to be more relevant than the personalization of electroniccontent for Level IV. In the context of e-commerce, the personalizedcontent for Level I is more likely to result in a sale than for LevelsII-IV. This may be true because of the decrease in the user IDconfidence level. That is, users other than the targeted user may beutilizing the user online identifiers in Levels II-IV.

For example, personalizing electronic content solely based on matched IPaddresses 214 may result in a user being presented with irrelevant andeven offensive content because of the multiple numbers of other usersthat may be using the IP addresses 214. Nevertheless, this does not meanthat the personalization of electronic content based on the data inLevels IV should be avoided. In fact, personalizing electronic contentbased on the data in Levels II-IV can be worthwhile if conductedpursuant to pre-defined usage parameters as will be discussed below.

Prior to proceeding, it is important to note that the manner in whichthe user online identifiers in table 200 may be utilized to generatepersonalized content in an embodiment of the present disclosure. Ingeneral, websites, or third-party tracking entities, track online userbehavior to collect information about a user to predict product orproduct categories in which the user may be most interested. Thisgenerally involves the collection and analysis of click stream data andother online user behavior to create a score or profile that, asaccurately as possible, identifies the user as a person who may beinterested in certain products or content.

In an illustrative embodiment, collection of user online behavior datainvolves the tagging of websites to track and capture click stream dataas the user browses a website. Data may be collected and stored in adatabase or data warehouse and are subjected to data mining algorithmsto uncover patterns in browser behavior. The results of the data miningprocedure are used to create the behavioral profile or score which maythen be used to serve personalized content, including advertisements andproduct recommendations, matched to the predicted user behavior.

In an illustrative embodiment of the present disclosure, user data,including historical online behavior, demographic information, purchasehistory, and user preferences, are not stored under a user's actualname, but may be instead stored by the server 21 under user onlineidentifiers, including tracking cookies, user accounts, email addresses,and IP addresses as shown in FIG. 4. The online user behavior trackedand collected may include, without limitation, purchase history,products viewed, webpages viewed, items abandoned in a virtual shoppingcart, terms utilized in formulating search queries, websites visited,and browsing behavior. In addition, demographic information known abouta user, such as age, gender, interests, hobbies, etc. may also beutilized to in predicting a user's interests. User data may compriseboth historical online user behavior and demographic information.

It will be appreciated that the base tracking cookie 202, base emailaddress 204, base user account 205, tracking cookies 206, emailaddresses 208, matched user accounts 210, matched email addresses 212,and IP addresses 214 may each have its own tracked and captured userbehavioral data, and user demographic data, stored in a database thatmay be utilized to generate personalized content, including targetedadvertisements. In an illustrative embodiment, the server 21 tracks andcaptures user online behavior for each of the base tracking cookie 202,base email address 204, base user account 205, tracking cookies 206,email addresses 208, matched user accounts 210, matched email addresses212, and IP addresses 214. In an illustrative embodiment, one or morethird-party servers track and capture user online behavior anddemographic data for each of the base tracking cookie 202, base emailaddress 204, base user account 205, tracking cookies 206, emailaddresses 208, matched user accounts 210, matched email addresses 212,and IP addresses 214.

In an illustrative embodiment, the server 21 is operable to generatepersonalized electronic content, such as targeted advertisements, basedon the tracked and captured user online behavior and demographic datafor each of the base tracking cookie 202, base email address 204, baseuser account 205, tracking cookies 206, email addresses 208, matcheduser accounts 210, matched email addresses 212, and IP addresses 214. Inan illustrative embodiment, one or more third-party servers are operableto generate and provide to the server 21 personalized electroniccontent, such as targeted advertisements, based on the tracked andcaptured user online behavior and user demographic information for eachof the base tracking cookie 202, base email address 204, base useraccount 205, tracking cookies 206, email addresses 208, matched useraccounts 210, matched email addresses 212, and IP addresses 214.

It will be appreciated that using the online user behavior anddemographic data associated with the base tracking cookie 202, baseemail address 204, base user account 205, tracking cookies 206, emailaddresses 208, matched user accounts 210, matched email addresses 212,and IP addresses 214 creates a more robust data set for personalizationof electronically generated content.

In an illustrative embodiment, the present invention furthercontemplates applying content usage parameters to the electronicallygenerated content to account for variations in the user ID confidencelevel. In particular, where the user ID confidence level is high, thenthe higher the degree of personalization of the personalized content.Where the user ID confidence level is low, the degree of personalizationof the personalized content is reduced.

In this regard, the present invention takes into account that for someuser online identifiers in FIG. 4, there is a possibility that thetargeted user is not actually the user that will view the personalizedcontent. For example, in the case where the user online identifier is anIP address, there is a possibility that the targeted user is notactually the user that will view the personalized content becausemultiple users may utilize the same IP address. Nevertheless, thepresent invention recognizes the benefit of still providing personalizedcontent in this situation, albeit with a lesser degree ofpersonalization so as not to drive away non-targeted users by presentinghighly personalized content meant for another user.

Referring now to FIG. 5, there is depicted a table 300 containing anexample of personalized content usage parameters for the differentLevels I-IV of online user IDs stored in the master ID table 200 shownin FIG. 4. It will be appreciated that the usage parameters shown inFIG. 5 may vary in embodiments of the present disclosure. In anillustrative embodiment, the usage parameters determine the manner inwhich the electronically generated content is presented as well asfiltering undesirable products or product categories from appearing inthe personalized content.

As can be observed, for each of the Levels I-IV, there is provided inthe table 300 the following rows: Recommended Messaging, Template, AdultCategories, Personal Sensitive, Personal Non-Sensitive, and LowestTaxonomy Level. Each of these will now be explained.

Recommended Messaging refers to the prominence of the electronicallygenerated content. That is, Recommended Messaging determines whether theelectronically generated content is explicit or implicit in itstargeting of a user. Explicit content makes clear that the user is beingtargeted, while implicit advertising does not make targeting clear. Forexample, where a user's previous online behavior predicts that the usermay be interested in a diamond wedding ring previously viewed in aproduct listing, explicit content may include an image of the actualring previously viewed by the user along with a statement inviting theuser by name to purchase the ring. Implicit content, on the other hand,may simply include a general advertisement for wedding rings. Thus,explicit content is more personalized than implicit content.

The Template row in FIG. 5 refers to the fact that each of the LevelsI-IV may have different templates. In an illustrative embodiment, thedifferent templates may vary the degree of personalization of theelectronically generated content. The templates may include webpagetemplates and email templates.

In an illustrative embodiment, the content usage parameters may includeproduct filters. The Adult Categories row in FIG. 5 is an example ofproduct categories that are automatically excluded, i.e., filtered, fromappearing in personalized content for all of Levels I-IV. An example ofan excluded adult category may be lingerie. The Personal Sensitive andPersonal Non-Sensitive rows are example of product categories that areexcluded or filtered for some of Levels I-IV but included in other onesof Levels I-IV. An example of a personal sensitive category may becaskets. An example of a personal non-sensitive category may be men'sshoes.

It will be appreciated that some of the products or categories in aproduct taxonomy of an e-commerce website may be identified as adult,sensitive, or non-sensitive in a database. In an illustrativeembodiment, this identification may be done manually by an operator ofthe server 21. In an illustrative embodiment, the server 21 may automatethe identification.

Lowest Taxonomy Level refers to the lowest level of a product taxonomytree that will be presented to a user for the Levels I-IV. Product levelrefers to the lowest node in a product taxonomy tree and may be anactual product offered for sale. Product level +1 refers to the nextlevel just above the product level. Product level +2 refers to secondlevel above the product level. Product level +3 refers to third levelabove the product level. In this regard, product level +1, product level+2, and product level +3, are subcategories in a product taxonomy treewhile product level may be an actual product. (The arrow labeled“Product Taxonomy Level” in FIG. 4 represents this concept.)

From FIGS. 4 and 5, it can be observed that the higher the user IDconfidence level, the greater the degree of personalization of theelectronic content. Likewise, it can be observed that the lower the userID confidence level, the lesser the degree of personalization of theelectronic content. It can be further observed that each of Levels I-IVmay have its own advertising preferences and product filters.

Referring now to FIG. 6, there is depicted a flow diagram 400 of aprocess according to an illustrative embodiment of the presentdisclosure. It will be appreciated the process of the diagram 400 may beperformed by the processor 22 of the server 21 as it executes theinstructions of the program 24. It will be appreciated that the processof the diagram 400 may contain more or fewer steps than shown in FIG. 6.It will further be appreciated that the steps shown in the diagram 400are not limited to any particular order and may be performed in adifferent order than the order shown.

At step 402, a plurality of user online identifiers are associated in adatabase under a master ID. The master ID may be a numeric oralphanumeric identifier. The user online identifiers may includetracking cookies, email addresses, user accounts, IP addresses, or anyother user online identifier utilized to track and monitor user behaviorwhile online. The tracking cookies may include unique identifying datastored in the memory of user computers as known to those of ordinaryskill. The tracking cookies may include tracking cookies from multipleuser computers used to login to the same user account on a website.

The email addresses may include an email address provided by a user inassociation with a subscription, account creation, or lead generation.The email addresses may also include multiple email addresses linked toa single user account through login. For example, the email addressesmay include a home and work email address for a user that are utilizedto login to the same user account on a website.

The user accounts may include user accounts matched to a known useraccount for a user. The user accounts may be matched by comparingpersonal identifying information such as last name, first name, and aphysical or mailing address. A user account that has the same last name,first name, and/or physical or mailing address is likely to be the sameuser of another user account that has the same last name, first name,and/or physical or mailing address.

Likewise, the email accounts may include email accounts matched by aphysical or mailing address to a known address for a user. Again, anemail account that has associated therewith the same last name, firstname, and/or physical or mailing address is likely to be the same userof another email account that has the same last name, first name, and/orphysical or mailing address. The IP addresses may include IP addressesthat are used by the user computers to access a user account on awebsite.

It will be appreciated that the user online identifiers associated withthe master ID may each have stored in a database associated trackedonline behavior and/or demographic information that may be utilized togenerate personalized content based upon predicted behavior.

At step 404, a set of content usage parameters is defined or assignedfor each of the user online identifiers. Each set may contain arecommended messaging type, i.e., explicit or implicit. Each set mayfurther include a template variant. Each set may further include productfilters that exclude certain categories of products or products in aproduct taxonomy tree and also identifies the lowest level in theproduct taxonomy tree that may be presented for the associated useronline identifier.

At step 406, a targeted user online identifier for a user is provided,identified, or selected. In an illustrative embodiment, the targeteduser online identifier is obtained during a user's visit to a website.In association with the visit, the targeted user online identifier forthe user is obtained. In an illustrative embodiment, the targeted useronline identifier may be a tracking cookie stored on a user computer. Inan illustrative embodiment, the targeted user online identifier is anemail account. In an illustrative embodiment, the targeted user onlineidentifier is a user account. In an illustrative embodiment, thetargeted user online identifier is an IP address. Multiple targeted useronline identifiers may be obtained at this step. For example, the targetuser online identifiers may include a tracking cookie, a user account,and an IP address. In an illustrative embodiment, the user onlineidentifier is a targeted email address obtained from a list of targetedusers in conjunction with an email marketing campaign.

At step 408, the target user online identifier(s) obtained at step 406are compared to a plurality of user online identifiers stored in thedatabase under master IDs. If a match is found, the corresponding masterID is identified, selected, and stored.

At step 410, preliminary electronic content is generated using the useronline behavior for one or more of the user online identifiersassociated with the selected master ID. The preliminary electroniccontent may identify one or more entries in a product taxonomy tree thatare predicted to be of interest to the user.

At step 412, the set of content usage parameters corresponding to thetargeted user online identifier(s) obtained at step 406 is applied tothe preliminary electronic content generated at step 410 to generatepersonalized content.

At step 414, the personalized content generated at step 412 is displayedon a display of the user's computer. In an illustrative embodiment, thepersonalized content may be transmitted over a network and displayed ina web browser on the user computer. In an illustrative embodiment, thepersonalized content may be used to populate a template. In anillustrative embodiment, the personalized content may be a targetedadvertisement for a product or a service. In an illustrative embodiment,the personalized content may be a banner add displayed on a third-partywebsite. In an illustrative embodiment, the generated personalizedcontent may be in a body of an email. The personalized content may beinteractive such that a user can click through to an e-commerce websiteas known to those of ordinary skill. It will be appreciated thepersonalized content may include content for multiple targeted useronline identifiers. In this regard, multiple sets of content usageparameters may be used to generate the personalized content.

At step 416, the user may complete an e-commerce transaction for aproduct or server advertised in the personalized content on ane-commerce website.

Example 1

A user requests a homepage of an e-commerce website from a serverthrough a web browser running on a user computer as known to those ofordinary skill. Prior to generating the homepage, the server requests atracking cookie previously stored on the user computer. Upon receivingthe tracking cookie, the server compares the targeted tracking cookie toa database of tracking cookies. Upon finding a match to the trackingcookie of the user computer in the database, the server identifies,selects, and stores a master ID associated with the tracking cookiefound in the database. Using the master ID, the server is able toidentify other user online identifiers associated with the master ID.

Using one or more of the user online identifiers associated with themaster ID, the server is able to generate preliminary electronic contentbased on user online behavior that was previously tracked and stored.Then, the server applies to the preliminary electronic content theappropriate sets of content usage parameters to define the finalpersonalized content. The personalized content is then utilized topopulate a homepage template, which is served to the user computer anddisplayed in a web browser as the homepage. The personalized content maycomprise targeted advertisements or product recommendations. (End ofexample.)

Those having ordinary skill in the relevant art will appreciate theadvantages provide by the features of the present disclosure. Forexample, it is a feature of the present disclosure to provide anenhanced user identification system and method for use in e-commerce.Another feature of the present disclosure is to provide an enhanced useridentification system and method for personalizing electronicallygenerated content used for webpages, emails, and other electronicdocuments. It is a further feature of the present disclosure, inaccordance with one aspect thereof, to provide a system forpersonalizing electronic content to increase the probability of a salein an e-commerce environment.

In the foregoing Detailed Description, various features of the presentdisclosure are grouped together in a single embodiment for the purposeof streamlining the disclosure. This method of disclosure is not to beinterpreted as reflecting an intention that the claimed disclosurerequires more features than are expressly recited in each claim. Rather,as the following claims reflect, inventive aspects lie in less than allfeatures of a single foregoing disclosed embodiment. Thus, the followingclaims are hereby incorporated into this Detailed Description of theDisclosure by this reference, with each claim standing on its own as aseparate embodiment of the present disclosure.

It is to be understood that the above-described arrangements are onlyillustrative of the application of the principles of the presentdisclosure. Numerous modifications and alternative arrangements may bedevised by those skilled in the art without departing from the spiritand scope of the present disclosure, and the appended claims, areintended to cover such modifications and arrangements. Thus, while thepresent disclosure has been shown in the drawings and described abovewith particularity and detail, it will be apparent to those of ordinaryskill in the art that numerous modifications, including, but not limitedto, variations in size, materials, shape, form, function and manner ofoperation, assembly and use may be made without departing from theprinciples and concepts set forth herein.

What is claimed is:
 1. A system for personalizing electronicallygenerated content provided to a user computer over a network, saidsystem comprising: a processor; a memory coupled to the processor;computer-readable instructions stored in the memory, that when executedby the processor, cause the processor to perform the operations of (i)associate a plurality of user online identifiers in a database, (ii)define or associate content usage parameters with each of the pluralityof user online identifiers, (iii) match a target user online identifierto one of the plurality of user online identifiers, and (iv) generatepersonalized content based on user data associated with one or more ofthe user online identifiers and one or more of the content usageparameters.
 2. The system of claim 1, wherein the plurality of useronline identifiers comprises at least one of a user account, an emailaddress, a unique tracking identifier, and an IP address.
 3. The systemof claim 1, wherein the plurality of user online identifiers comprisesat least two of a user account, an email address, a unique trackingidentifier, and an IP address.
 4. The system of claim 1, wherein theplurality of user online identifiers comprises at least three of a useraccount, an email address, a unique tracking identifier, and an IPaddress.
 5. The system of claim 1, wherein the plurality of user onlineidentifiers comprises a user account, an email address, a uniquetracking identifier, and an IP address.
 6. The system of claim 1,wherein the target user online identifier comprises one or more of auser account, an email address, a unique tracking identifier, and an IPaddress.
 7. The system of claim 1, wherein the content usage parametersfor each of the plurality of user online identifiers designates a lowestpreferred taxonomy level of a product taxonomy tree.
 8. The system ofclaim 1, wherein the content usage parameters for each of the pluralityof user online identifiers define one or more product or productcategory filters.
 9. The system of claim 1, wherein the content usageparameters for each of the plurality of user online identifiers define arecommended messaging type.
 10. The system of claim 9, wherein therecommended messaging type is one of explicit and implicit.
 11. Thesystem of claim 1, wherein the computer-readable instructions stored inthe memory, that when executed by the processor, further cause theprocessor to perform the operations of populating a template with thepersonalized content.
 12. The system of claim 11, wherein the templateis one of a webpage template and an email template.
 13. The system ofclaim 11, wherein the template comprises one or more productrecommendations.
 14. The system of claim 1, wherein the personalizedcontent comprises at least one of targeted advertisements, productrecommendations, banner advertisements, special promotions, webpages,invitations, emails, search results and product lists.
 15. The system ofclaim 1, wherein the user data comprises at least one of historicalonline user behavior, demographic data, purchase history, and userpreferences.
 16. A method of personalizing electronically generatedcontent for display on a user computer, said method comprising:processing a plurality of user online identifiers to associate them in adatabase; processing content usage parameters to associate them with theplurality of user online identifiers; processing a target user onlineidentifier to match it with one of the plurality of user onlineidentifiers; and processing user data associated with one or more of theuser online identifiers and the content usage parameters to generatepersonalized content.
 17. The method of claim 16, wherein the pluralityof user online identifiers comprises at least one of a user account, anemail address, a unique tracking identifier, and an IP address.
 18. Themethod of claim 16, wherein the plurality of user online identifierscomprises at least two of a user account, an email address, a uniquetracking identifier, and an IP address.
 19. The method of claim 16,wherein the plurality of user online identifiers comprises at leastthree of a user account, an email address, a unique tracking identifier,and an IP address.
 20. The method of claim 16, wherein the plurality ofuser online identifiers comprises a user account, an email address, aunique tracking identifier, and an IP address.
 21. The method of claim16, wherein the target user online identifier comprises a user account,an email address, a unique tracking identifier, and an IP address. 22.The method of claim 16, wherein the content usage parameters for each ofthe plurality of user online identifiers designates a lowest preferredtaxonomy level of a product taxonomy tree.
 23. The method of claim 16,wherein the content usage parameters for each of the plurality of useronline identifiers define one or more product or product categoryfilters.
 24. The method of claim 16, wherein the content usageparameters for each of the plurality of user online identifiers define arecommended messaging type.
 25. The method of claim 24, wherein therecommended messaging type is one of explicit and implicit.
 26. Themethod of claim 16, further comprising populating a template with thepersonalized content.
 27. The method of claim 26, wherein the templateis one of a webpage template and an email template.
 28. The method ofclaim 26, wherein the template comprises one or more productrecommendations.
 29. The method of claim 16, wherein the personalizedcontent comprises at least one of targeted advertisements, productrecommendations, special promotions, webpages, invitations, emails,search results and product lists.
 30. The method of claim 29, whereinthe targeted advertisements are banner advertisements.